Proficy CSense: Improve process variation
In this demonstration we'll see how a process engineer can reduce process variations using GE Digital's Proficy CSense and the CSense continuous troubleshooter connected to Proficy Historian feeding time-series data.
You will see how to identify the root cause of temperature variation in a furnace by looking at correlations and analyzing key parameters, in this case the anode temperature and create a digital model that you can deploy in production for real time control & analysis.
Proficy CSense from GE Digital uses AI and machine learning to enable process engineers to combine data across industrial data sources and rapidly identify problems, discover root causes, predict future performance, and automate actions to continuously improve quality, utilization, productivity, and delivery of operations.
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